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JMLR
2012
10 years 2 months ago
Fast interior-point inference in high-dimensional sparse, penalized state-space models
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
Eftychios A. Pnevmatikakis, Liam Paninski
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
11 years 11 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
APPML
2006
105views more  APPML 2006»
11 years 12 months ago
Stability margins for generalized state space systems
In this work we extend results from the literature on H design with pole placement constraints to the case of generalized state space models, for both continuous-time and discrete...
Djilali Bouagada, Paul Van Dooren
ISAS
2004
Springer
12 years 5 months ago
A Modular Approach for Model-Based Dependability Evaluation of a Class of Systems
Analytical and simulative modeling for dependability and performance evaluation has been proven to be a useful and versatile approach in all the phases of the system life cycle. I...
Stefano Porcarelli, Felicita Di Giandomenico, Paol...
ICML
2006
IEEE
13 years 21 days ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty
books